# Development of a Behavioral Economics Guided Just-In-Time Adaptive Intervention to Reduce Heavy Drinking and Loss-of-Control Eating in Female Young Adult Survivors of Sexual or Dating Violence

> **NIH NIH K01** · WAYNE STATE UNIVERSITY · 2020 · $116,629

## Abstract

PROJECT SUMMARY/ABSTRACT
The long-term objective of the proposed Mentored Research Scientist Development Award is to launch Dr.
Jacques-Tiura’s program of research as an independent social health behavioral change researcher focusing
on young women’s addictive behaviors. This goal will be achieved through a 5-year parallel training and
research plan. Training objectives involve building expertise in (1) the theory and practice of T1 translation
intervention development and adaption, (2) behavioral economic theory and its application to addictive
behaviors, (3) the development and refinement of mobile health-delivered (mHealth) interventions, and (4) the
development, refinement, and use of statistical methods of analyzing data to inform adaptive interventions and
just-in-time adaptive interventions (JITAIs). Training objectives will be met through a comprehensive training
plan involving (1) ongoing one-on-one meetings with mentors Drs. Sylvie Naar, Mark Greenwald, Steven
Ondersma, and Inbal Nahum-Shani, (2) workshops and summer institutes, (3) conferences, (4) seminars, and
(5) coursework for the responsible conduct of research. Skills gained through the training plan will be put into
action through the complementary three-phase research plan. Phase 1, to be completed in Years 1 and 2,
involves basic behavioral science of pre-intervention development. To address Aim 1, we will collect online
survey data from 300 young women age 18-25 to examine common behavioral economic factors related to
heavy episodic drinking (HED) and loss-of-control (LOC) eating among sexual and/or dating violence survivors
(SVDV), such as relative reinforcing value of alcohol and food, delay discounting of alcohol and food, costs and
consequences of alcohol and LOC eating, and reinforcement from non-alcohol and food-related activities.
Results will guide intervention and development and beta testing in Phase 2 (T1 translation). Phase 2, to be
completed in Years 2-3, involves developing and beta testing the 12-week online behavioral economic-guided
JITAI to reduce HED and LOC eating behaviors with 12 SVDV survivors, to address Aim 2. Phase 3, to be
completed in Years 4 and 5, focuses on proof of concept and involves feasibility and preliminary efficacy
testing of the intervention developing in Phase 2. Aim 3a concerns feasibility and refinement of participant
methods and intervention content, and Aim 3b concerns testing invention efficacy by conducting a within-
subjects multiple baseline pilot study with 36 SVDV survivors. The proposed studies will provide pilot data for
Dr. Jacques-Tiura’s first R01 proposal to NIAAA, to be submitted in Year 5. Mentors Drs. Naar, Greenwald,
Ondersma, and Nahum-Shani will share their expertise in (1) T1 translation of health intervention, (2)
behavioral economics, (3) mHealth, and (4) JITAI research design and statistical analysis. Wayne State
University offers suitable resources and a fruitful environment ripe for growing a career in the a...

## Key facts

- **NIH application ID:** 9964611
- **Project number:** 5K01AA024500-05
- **Recipient organization:** WAYNE STATE UNIVERSITY
- **Principal Investigator:** Angela J Tiura
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $116,629
- **Award type:** 5
- **Project period:** 2016-07-01 → 2021-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9964611

## Citation

> US National Institutes of Health, RePORTER application 9964611, Development of a Behavioral Economics Guided Just-In-Time Adaptive Intervention to Reduce Heavy Drinking and Loss-of-Control Eating in Female Young Adult Survivors of Sexual or Dating Violence (5K01AA024500-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9964611. Licensed CC0.

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